Parallel computing can accelerate the solution of computationally expensive optimization problems
| Date | Contributor | Description | Rating |
|---|---|---|---|
| 29 Jun 2009 | Linda Webb |
Engineers, scientists, and financial analysts frequently use optimization methods to solve computationally expensive problems such as smoothing the large computational meshes used in fluid dynamic simulations, performing image registration, or analyzing high-dimensional financial portfolios. However, computing a solution can take anywhere from hours to days.
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| Tag | Applied By | Date/Time |
|---|---|---|
| mw article | MathWorks Classroom Resources Team | 26 Apr 2011 at 5:46pm |
| language english | MathWorks Classroom Resources Team | 26 Apr 2011 at 5:46pm |
| technical literature | MathWorks Classroom Resources Team | 26 Apr 2011 at 5:46pm |
| mathematics | MathWorks Classroom Resources Team | 26 Apr 2011 at 5:46pm |
| computational methods | MathWorks Classroom Resources Team | 26 Apr 2011 at 5:46pm |
| computational finance | MathWorks Classroom Resources Team | 26 Apr 2011 at 5:46pm |
| parallel computing toolbox | Linda Webb | 29 Jun 2009 at 4:16pm |
| parfor | Linda Webb | 29 Jun 2009 at 4:16pm |
| parallel for loop | Linda Webb | 29 Jun 2009 at 4:16pm |
| whitepaper | Linda Webb | 29 Jun 2009 at 4:16pm |
| parallel computing | Linda Webb | 29 Jun 2009 at 4:16pm |
| parallel | Linda Webb | 29 Jun 2009 at 4:16pm |
| paper | Linda Webb | 29 Jun 2009 at 4:16pm |
| optimization toolbox | Linda Webb | 29 Jun 2009 at 4:16pm |
| optimization | Linda Webb | 29 Jun 2009 at 4:16pm |
| montecarlo simulation | Linda Webb | 29 Jun 2009 at 4:16pm |
| matlab | Linda Webb | 29 Jun 2009 at 4:16pm |
| gradient estimation | Linda Webb | 29 Jun 2009 at 4:16pm |
| fmincon | Linda Webb | 29 Jun 2009 at 4:16pm |
| article | Linda Webb | 29 Jun 2009 at 4:16pm |